DeXIN: An Extensible Framework for Distributed XQuery over Heterogeneous Data Sources . - Muhammad Intizar Ali; Reinhard Pichler; Hong Linh Truong 001; Schahram Dustdar (ICEIS, 2009)

On Using Distributed Extended XQuery for Web Data Sources as Services. - Muhammad Intizar Ali; Reinhard Pichler; Hong Linh Truong 001; Schahram Dustdar (ICWE, 2009)

On Integrating Data Services Using Data Mashups. - Muhammad Intizar Ali; Reinhard Pichler; Hong Linh Truong 001; Schahram Dustdar (BNCOD, 2011)

Data Concern Aware Querying for the Integration of Data Services. - Muhammad Intizar Ali; Reinhard Pichler; Hong Linh Truong 001; Schahram Dustdar (ICEIS (1), 2011)

Incorporating Data Concerns into Query Languages for Data Services. - Muhammad Intizar Ali; Reinhard Pichler; Hong Linh Truong 001; Schahram Dustdar (ICEIS, 2011)

Optimizing Data Integration Queries over Web Data Sources (OPTIQ). - Muhammad Intizar Ali (ICEIS (1), 2012)

Update Semantics for Interoperability among XML, RDF and RDB - A Case Study of Semantic Presence in CISCO's Unified Presence Systems. - Muhammad Intizar Ali; Nuno Lopes 002; Owen Friel; Alessandra Mileo (APWeb, 2013)

XSPARQL-Viz: A Mashup-Based Visual Query Editor for XSPARQL. - Syed Zeeshan Haider Gillani; Muhammad Intizar Ali; Alessandra Mileo (ESWC (Satellite Events), 2013)

Semantically Interlinked Notification System for Ubiquitous Presence Management. - Qaiser Mehmood 001; Muhammad Intizar Ali; Ollie Fagan; Owen Friel; Alessandra Mileo (OTM Conferences, 2013)

QoS-Aware Complex Event Service Composition and Optimization Using Genetic Algorithms. - Feng Gao 003; Edward Curry; Muhammad Intizar Ali; Sami Bhiri; Alessandra Mileo (ICSOC, 2014)

How Good Is Your SPARQL Endpoint? - A QoS-Aware SPARQL Endpoint Monitoring and Data Source Selection Mechanism for Federated SPARQL Queries. - Muhammad Intizar Ali; Alessandra Mileo (OTM Conferences, 2014)

Semantic Discovery and Integration of Urban Data Streams. - Feng Gao 003; Muhammad Intizar Ali; Alessandra Mileo (S4SC@ISWC, 2014)

CityBench: A Configurable Benchmark to Evaluate RSP Engines Using Smart City Datasets. - Muhammad Intizar Ali; Feng Gao 003; Alessandra Mileo (ISWC (2), 2015)

A Semantic Processing Framework for IoT-Enabled Communication Systems. - Muhammad Intizar Ali; Naomi Ono; Mahedi Kaysar; Keith Griffin; Alessandra Mileo (ISWC (2), 2015)

LSQ: The Linked SPARQL Queries Dataset. - Muhammad Saleem 002; Muhammad Intizar Ali; Aidan Hogan; Qaiser Mehmood 001; Axel-Cyrille Ngonga Ngomo (ISWC (2), 2015)

The LSQ Dataset: Querying for Queries. - Muhammad Saleem 002; Muhammad Intizar Ali; Aidan Hogan; Qaiser Mehmood 001; Axel-Cyrille Ngonga Ngomo (ISWC (Posters & Demos), 2015)

QoS-aware adaptation for complex event service. - Feng Gao 003; Muhammad Intizar Ali; Edward Curry; Alessandra Mileo (SAC, 2016)

Do "Web of Things platforms" truly follow the Web of Things? - Andreas Kamilaris; Muhammad Intizar Ali (WF-IoT, 2016)

Agri-IoT: A semantic framework for Internet of Things-enabled smart farming applications. - Andreas Kamilaris; Feng Gao 003; Francesc X. Prenafeta-Boldu; Muhammad Intizar Ali (WF-IoT, 2016)

WOTS2E: A search engine for a Semantic Web of Things. - Andreas Kamilaris; Semih Yumusak; Muhammad Intizar Ali (WF-IoT, 2016)

CityPulse: Large Scale Data Analytics Framework for Smart Cities. - Dan Puiu; Payam M. Barnaghi; Ralf Toenjes; Daniel Kuemper; Muhammad Intizar Ali; Alessandra Mileo; Josiane Xavier Parreira; Marten Fischer; Sefki Kolozali; Nazli FarajiDavar; Feng Gao 003; Thorben Iggena; et al. (IEEE Access, 2016)

QoS-Aware Stream Federation and Optimization Based on Service Composition. - Feng Gao 003; Muhammad Intizar Ali; Edward Curry; Alessandra Mileo (Int. J. Semantic Web Inf. Syst., 2016)

Optimizing the Performance of Concurrent RDF Stream Processing Queries. - Chan Le Van; Feng Gao 003; Muhammad Intizar Ali (ESWC (1), 2017)

Towards Scalable Non-Monotonic Stream Reasoning via Input Dependency Analysis. - Thu-Le Pham; Alessandra Mileo; Muhammad Intizar Ali (ICDE, 2017)

Automatic configuration of smart city applications for user-centric decision support. - Thu-Le Pham; Stefano Germano; Alessandra Mileo; Daniel Kümper; Muhammad Intizar Ali (ICIN, 2017)

A Web of Things based eco-system for urban computing - towards smarter cities. - Andreas Kamilaris; Andreas Pitsillides; Francesc X. Prenafeta-Boldu; Muhammad Intizar Ali (ICT, 2017)

On the Need for Applications Aware Adaptive Middleware in Real-Time RDF Data Analysis (Short Paper). - Zia Ush-Shamszaman; Muhammad Intizar Ali (OTM Conferences (2), 2017)

On a Web of Data Streams. - Daniele Dell'Aglio; Danh Le Phuoc; Anh Lê Tuán; Muhammad Intizar Ali; Jean-Paul Calbimonte (DeSemWeb@ISWC, 2017)

Semantic Web Meets Internet of Things and Web of Things: [2nd Edition]. - Amelie Gyrard; Pankesh Patel; Soumya Kanti Datta; Muhammad Intizar Ali (WWW (Companion Volume), 2017)

Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities. - Amelie Gyrard; Martin Serrano; Joao Bosco Jares; Soumya Kanti Datta; Muhammad Intizar Ali (WWW (Companion Volume), 2017)

SWoTSuite: A Toolkit for Prototyping End-to-End Semantic Web of Things Applications. - Pankesh Patel; Amelie Gyrard; Soumya Kanti Datta; Muhammad Intizar Ali (WWW (Companion Volume), 2017)

On Using the Intelligent Edge for IoT Analytics. - Pankesh Patel; Muhammad Intizar Ali; Amit P. Sheth (IEEE Intell. Syst., 2017)

Automated discovery and integration of semantic urban data streams: The ACEIS middleware. - Feng Gao 003; Muhammad Intizar Ali; Edward Curry; Alessandra Mileo (Future Gener. Comput. Syst., 2017)

Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications. - Muhammad Intizar Ali; Pankesh Patel; Soumya Kanti Datta; Amelie Gyrard (Open J. Internet Things, 2017)

Real-time data analytics and event detection for IoT-enabled communication systems. - Muhammad Intizar Ali; Naomi Ono; Mahedi Kaysar; Zia Ush-Shamszaman; Thu-Le Pham; Feng Gao 003; Keith Griffin; Alessandra Mileo (J. Web Semant., 2017)

Vessel Destination and Arrival Time Prediction with Sequence-to-Sequence Models over Spatial Grid. - Duc-Duy Nguyen; Chan Le Van; Muhammad Intizar Ali (DEBS, 2018)

Vessel Trajectory Prediction using Sequence-to-Sequence Models over Spatial Grid. - Duc-Duy Nguyen; Chan Le Van; Muhammad Intizar Ali (DEBS, 2018)

VoCaLS: Describing Streams on the Web. - Riccardo Tommasini 001; Yehia Abo Sedira; Daniele Dell'Aglio; Marco Balduini; Muhammad Intizar Ali; Danh Le Phuoc; Emanuele Della Valle; Jean-Paul Calbimonte (ISWC (P&D/Industry/BlueSky), 2018)

VoCaLS: Vocabulary and Catalog of Linked Streams. - Riccardo Tommasini 001; Yehia Abo Sedira; Daniele Dell'Aglio; Marco Balduini; Muhammad Intizar Ali; Danh Le Phuoc; Emanuele Della Valle; Jean-Paul Calbimonte (ISWC (2), 2018)

From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0. - Pankesh Patel; Muhammad Intizar Ali; Amit P. Sheth (IEEE Intell. Syst., 2018)

Toward a Smart Society Through Semantic Virtual-Object Enabled Real-Time Management Framework in the Social Internet of Things. - Zia Ush-Shamszaman; Muhammad Intizar Ali (IEEE Internet Things J., 2018)

Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability. - Bharath Sudharsan; Peter Corcoran 001; Muhammad Intizar Ali (AICS, 2019)

Deconvolutional Pixel Layer Model for Road segmentation without Human Assistance. - Abdul Wahid; Muhammad Intizar Ali (AICS, 2019)

Middleware for Real-Time Event Detection andPredictive Analytics in Smart Manufacturing. - Muhammad Intizar Ali; Pankesh Patel; John G. Breslin (DCOSS, 2019)

On Evaluating the Impact of Changes in IoT Data Streams Rate over Query Window Configurations. - Radhya Sahal; John G. Breslin; Muhammad Intizar Ali (DEBS, 2019)

Enabling On-Demand Decentralized IoT Collectability Marketplace using Blockchain and Crowdsensing. - Duc-Duy Nguyen; Muhammad Intizar Ali (GIoTS, 2019)

C-ASP: Continuous ASP-Based Reasoning over RDF Streams. - Thu-Le Pham; Muhammad Intizar Ali; Alessandra Mileo (LPNMR, 2019)

Assessing, Monitoring and Analyzing Linked Data Quality in Public SPARQL Endpoints. - Muhammad Intizar Ali; Qaiser Mehmood 001; Muhammad Saleem 002 (QuWeDa@ISWC, 2019)

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. - Sefki Kolozali; María Bermúdez-Edo; Nazli FarajiDavar; Payam M. Barnaghi; Feng Gao 003; Muhammad Intizar Ali; Alessandra Mileo; Marten Fischer; Thorben Iggena; Daniel Kuemper; Ralf Tönjes (IEEE Internet Things J., 2019)

Enabling cognitive contributory societies using SIoT: : QoS aware real-time virtual object management. - Zia Ush-Shamszaman; Muhammad Intizar Ali (J. Parallel Distributed Comput., 2019)

Enhancing the scalability of expressive stream reasoning via input-driven parallelization. - Thu-Le Pham; Muhammad Intizar Ali; Alessandra Mileo (Semantic Web, 2019)

Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications. - Pankesh Patel; Muhammad Intizar Ali (Smart Service Management, 2020)

Industrial IoT and Digital Twins for a Smart Factory : An open source toolkit for application design and benchmarking. - Vignesh Kamath; Jeff Morgan; Muhammad Intizar Ali (GIoTS, 2020)

A Cloud-based Smart Doorbell using Low-Cost COTS Devices. - Bhavin Joshi; Tapan Pathak; Vatsal Patel; Sarth Kanani; Pankesh Patel; Muhammad Intizar Ali (IOT Companion, 2020)

A distributed framework to orchestrate video analytics across edge and cloud: a use case of smart doorbell. - Tapan Pathak; Vatsal Patel; Sarth Kanani; Shailesh Arya; Pankesh Patel; Muhammad Intizar Ali (IOT, 2020)

RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IOT, 2020)

Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IOT, 2020)

Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches. - Bharath Sudharsan; Dineshkumar Sundaram; John G. Breslin; Muhammad Intizar Ali (IOT Companion, 2020)

Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (WF-IoT, 2020)

A Distributed Framework to Orchestrate Video Analytics Applications. - Tapan Pathak; Vatsal Patel; Sarth Kanani; Shailesh Arya; Pankesh Patel; Muhammad Intizar Ali; John G. Breslin (CoRR, 2020)

Demonstration of a Cloud-based Software Framework for Video Analytics Application using Low-Cost IoT Devices. - Bhavin Joshi; Tapan Pathak; Vatsal Patel; Sarth Kanani; Pankesh Patel; Muhammad Intizar Ali; John G. Breslin (CoRR, 2020)

A Demonstration of Smart Doorbell Design Using Federated Deep Learning. - Vatsal Patel; Sarth Kanani; Tapan Pathak; Pankesh Patel; Muhammad Intizar Ali; John G. Breslin (CoRR, 2020)

Semantic Web of Things for Industry 4.0. - Dhavalkumar Thakker; Pankesh Patel; Muhammad Intizar Ali; Tejal Shah (Semantic Web, 2020)

An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware. - Bharath Sudharsan; Piyush Yadav; John G. Breslin; Muhammad Intizar Ali (SCC, 2021)

Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IEEE BigData, 2021)

Towards Designing an Explainable-AI based Solution for Livestock Mart Industry. - Parit Mehta; Rudresh Dwivedi; Ciaran Feeney; Pankesh Patel; Muhammad Intizar Ali; John G. Breslin (COMAD/CODS, 2021)

An Intelligent Doorbell Design Using Federated Deep Learning. - Vatsal Patel; Sarth Kanani; Tapan Pathak; Pankesh Patel; Muhammad Intizar Ali; John G. Breslin (COMAD/CODS, 2021)

SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (ICCPS, 2021)

Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract. - Bharath Sudharsan; Pankesh Patel; Abdul Wahid; Muhammad Yahya; John G. Breslin; Muhammad Intizar Ali (IoTDI, 2021)

Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (PerCom Workshops, 2021)

Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices. - Bharath Sudharsan; Dineshkumar Sundaram; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (PerCom Workshops, 2021)

Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (ECML/PKDD (5), 2021)

ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT. - Bharath Sudharsan; Dhruv Sheth; Shailesh Arya; Federica Rollo; Piyush Yadav; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (SenSys, 2021)

Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices. - Bharath Sudharsan; Piyush Yadav; John G. Breslin; Muhammad Intizar Ali (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. - Bharath Sudharsan; Sweta Malik; Peter Corcoran 001; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (WF-IoT, 2021)

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. - Bharath Sudharsan; Simone Salerno; Duc-Duy Nguyen; Muhammad Yahya; Abdul Wahid; Piyush Yadav; John G. Breslin; Muhammad Intizar Ali (WF-IoT, 2021)

Cognitive Digital Twins for Smart Manufacturing. - Muhammad Intizar Ali; Pankesh Patel; John G. Breslin; Ramy F. Harik; Amit P. Sheth (IEEE Intell. Syst., 2021)

Toward Distributed, Global, Deep Learning Using IoT Devices. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali; Karan Mitra; Schahram Dustdar; Omer F. Rana; Prem Prakash Jayaraman; Rajiv Ranjan 001 (IEEE Internet Comput., 2021)

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case. - Radhya Sahal; Saeed H. Alsamhi; John G. Breslin; Muhammad Intizar Ali (Sensors, 2021)

Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction. - Muhammad Yahya; Baifan Zhou; Zhuoxun Zheng; Dongzhuoran Zhou; John G. Breslin; Muhammad Intizar Ali; Evgeny Kharlamov (ESWC (Satellite Events), 2022)

RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. - Bharath Sudharsan; Panchakarla S. Rahul; Piyush Yadav; Suneet Kumar Gupta 001; Vimal Kumar 002; Duc-Duy Nguyen; Muhammad Intizar Ali; John G. Breslin (ICCPS, 2022)

Poster Abstract: Embedded ML Pipeline for Precision Agriculture. - Dhruv Sheth; Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IPSN, 2022)

Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach. - Ihsan Ullah 002; Umair ul Hassan; Muhammad Intizar Ali (ISM, 2022)

Self-Attention Transformer-Based Architecture for Remaining Useful Life Estimation of Complex Machines. - Abdul Wahid; Muhammad Yahya; John G. Breslin; Muhammad Intizar Ali (ISM, 2022)

ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali; Peter Corcoran 001; Rajiv Ranjan 001 (SAC, 2022)

Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. - Bharath Sudharsan; Dineshkumar Sundaram; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali; Schahram Dustdar; Albert Y. Zomaya; Rajiv Ranjan 001 (CoRR, 2022)

OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices. - Bharath Sudharsan; John G. Breslin; Mehreen Tahir; Muhammad Intizar Ali; Omer F. Rana; Schahram Dustdar; Rajiv Ranjan 001 (IEEE Internet Comput., 2022)

ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IEEE Internet Things J., 2022)

Demonstrating the Potential of a Low-Cost Soil Moisture Sensor Network. - Ciprian Briciu-Burghina; Jiang Zhou; Muhammad Intizar Ali; Fiona Regan (Sensors, 2022)

Enabling On-Demand Crowdsourced Federated Learning Over IoT. - Mehreen Tahir; Muhammad Intizar Ali (FMEC, 2023)

Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems. - Jefkine Kafunah; Priyanka Verma 001; Muhammad Intizar Ali; John G. Breslin (IEEE Access, 2023)

Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry. - Muhammad Yahya; Baifan Zhou; John G. Breslin; Muhammad Intizar Ali; Evgeny Kharlamov (IEEE Access, 2023)

A Data-Driven Approach for Building the Profile of Water Storage Capacity of Soils. - Jiang Zhou; Ciprian Briciu-Burghina; Fiona Regan; Muhammad Intizar Ali (Sensors, 2023)

Multi-Criterion Client Selection for Efficient Federated Learning. - Mehreen Tahir; Muhammad Intizar Ali (AAAI Spring Symposia, 2024)

Enhancing Time Series Data Predictions: A Survey of Augmentation Techniques and Model Performances. - Alexander Okhuese Victor; Muhammad Intizar Ali (ACSW, 2024)

Integrating I4.0 Knowledge Graphs with Large Language Models Beyond SPARQL Endpoints. - Abdul Wahid; Muhammad Yahya; Farooq Zaman; Baifan Zhou; John G. Breslin; Muhammad Intizar Ali; Evgeny Kharlamov (SOFLIM2KG-SemIIM@ISWC, 2024)

Link Prediction in Industrial Knowledge Graphs: A Case Study on Football Manufacturing. - Muhammad Yahya; Abdul Wahid; Lan Yang 002; John G. Breslin; Evgeny Kharlamov; Muhammad Intizar Ali (IEEE Access, 2024)

A benchmark dataset with Knowledge Graph generation for Industry 4.0 production lines. - Muhammad Yahya; Aabid Ali; Qaiser Mehmood 001; Lan Yang 002; John G. Breslin; Muhammad Intizar Ali (Semantic Web, 2024)

Uncertainty-Aware Ensemble Combination Method for Quality Monitoring Fault Diagnosis in Safety-Related Products. - Jefkine Kafunah; Muhammad Intizar Ali; John G. Breslin (IEEE Trans. Ind. Informatics, 2024)

TCRSCANet: Harnessing Temporal Convolutions and Recurrent Skip Component for Enhanced RUL Estimation in Mechanical Systems. - Abdul Wahid; John G. Breslin; Muhammad Intizar Ali (Hum. Centric Intell. Syst., 2024)

System Demo of Modeling Smart University Campus Virtual Environments. - Jaime B. Fernandez; Muhammad Intizar Ali (MMM (5), 2025)

SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection. - Mehreen Tahir; Tanjila Mawla; Feras M. Awaysheh; Sadi Alawadi; Maanak Gupta; Muhammad Intizar Ali (IEEE J. Sel. Areas Commun., 2025)